US 12,315,621 B2
Cardiac ultrasonic fingerprinting: an approach for highthroughput myocardial feature phenotyping
Partho P. Sengupta, Morgantown, WV (US); Sirish Shrestha, Morgantown, WV (US); and Nobuyuki Kagiyama, Morgantown, WV (US)
Assigned to RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY, New Brunswick, NJ (US)
Appl. No. 17/617,465
Filed by RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY, New Brunswick, NJ (US)
PCT Filed Jun. 11, 2020, PCT No. PCT/US2020/037204
§ 371(c)(1), (2) Date Dec. 8, 2021,
PCT Pub. No. WO2020/257046, PCT Pub. Date Dec. 24, 2020.
Claims priority of provisional application 62/864,771, filed on Jun. 21, 2019.
Prior Publication US 2022/0238208 A1, Jul. 28, 2022
Int. Cl. G16H 30/40 (2018.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC G16H 30/40 (2018.01) [A61B 8/0883 (2013.01); A61B 8/5223 (2013.01); G06T 7/0012 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one computing device; and
at least one application executable on the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least:
extract a plurality of radiomic features from an ultrasound image associated with a patient;
determine one or more myocardial characteristics by applying the extracted plurality of radiomic features to one or more phenotyping models; and
interpret a clinical significance associated with the patient based at least in part on the one or more myocardial characteristics and matching the extracted plurality of radiomic features to a patient cluster mapping.